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Here is an interesting read on RNNs and how to build one from scratch in Python.

Humans do not reboot their understanding of language each time we hear a sentence. Given an article, we grasp the context based on our previous understanding of those words. One of the defining characteristics we possess is our memory (or retention power).

Can an algorithm replicate this? The first technique that comes to mind is a neural network (NN). But the traditional NNs unfortunately cannot do this. Take an example of wanting to predict what comes next in a video. A traditional neural network will struggle to generate accurate results.

That’s where the concept of recurrent neural networks (RNNs) comes into play. RNNs have become extremely popular in the deep learning space which makes learning them even more imperative. A few real-world applications of RNN include:

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